7 Works

Grad-Shafranov equation: MHD simulation of the new solution obtained from the Fadeev and Naval models

Arian Ojeda Gonzalez, Leandro Nunes Dos Santos, José Juan González-Avilés, Victor De La Luz & Pablo Rubén Muñoz-Gutberlet
This article aims to obtain a new analytical solution of a specific form of the Grad-Shafranov (GS) equation using Walker's formula. The new solution has magnetic field lines with X-type neutral points, magnetic islands and singular points. The singular points are located on the x-axis. The X-points and the center of the magnetic islands do not appear on the x-axis an island appears at $z>0$ and the other two at $z<0$. The aforementioned property allows...

Dataset of Constraining fossil fuel CO2 emissions from urban area using OCO-2 observations of total column CO2

X. Ye, T. Lauvaux, E.A. Kort, T. Oda, S. Feng, J.C. Lin, E.G. Yang & D. Wu
Satellite observations of the total column dry-air CO2 (XCO2) are expected to support the quantification and monitoring of fossil fuel CO2 (ffCO2) emissions from urban areas. We evaluate the utility of the Orbiting Carbon Observatory 2 (OCO-2) XCO2 retrievals to optimize whole-city emissions, using a Bayesian inversion system and high-resolution transport modeling. The uncertainties of constrained emissions related to transport model, satellite measurements, and local biospheric fluxes are quantified. For the first two uncertainty sources,...

CMS-Flux NBE 2020

Junjie Liu, Lartha Baskarran, Kevin Bowman, David Schimel, A. Anthony Bloom, Nick Parazoo, Tomohiro Oda, Dustin Carrol, Dimitris Menemenlis, Joanna Joiner, Roisin Commane, Bruce Daube, Lucianna V. Gatti, Kathryn McKain, John Miller, Britton B. Stephens, Colm Sweeney & Steven Wofsy
Top-down Net biosphere exchange estimates between Jan 2010 and Dec 2018 constrained by column CO2 observations from Greenhouse gases Observing Satellite and Orbiting Carbon Observatory 2. This dataset is openly shared in accordance with NASA Data and Information Policy (https://earthdata.nasa.gov/collaborate/open-data-services-and-software/data-information-policy).

Pyrocumulonimbus Events over British Columbia in August 2017: Results from the NASA GEOS Earth System Model

Sampa Das, Peter Colarco & Luke Oman

Thinner bark increases sensitivity of wetter Amazonian tropical forests to fire

Ann Carla Staver, Paulo M. Brando, Jos Barlow, Douglas C. Morton, C.E. Timothy Paine, Yadvinder Malhi, Alejandro Araujo Murakami & Jhon Pasquel
Understory fires represent an accelerating threat to Amazonian tropical forests and can, during drought, affect larger areas than deforestation itself. These fires kill trees at rates varying from < 10 to c. 90% depending on fire intensity, forest disturbance history and tree functional traits. Here, we examine variation in bark thickness across the Amazon. Bark can protect trees from fires, but it is often assumed to be consistently thin across tropical forests. Here, we show...

High-resolution (1.3kmx1.3-km) WRF-Chem output driven with the Hestia, and two nightlight-based fossil fuel emission products over the LA basin from 5/15/2020-6/15/2020

S. Feng, T. Lauvaux, T. Oda, M.O. Román, Z. Wang, S. Maksyutov & V.L. Kalb
This high-resolution WRF-Chem model output is driven with three different fossil fuel emission products: Hestia (Gurney et al., 2018), and two nightlight-based CO2 emission data using the same setup as Feng et al (2016). The nightlight data products are based on DMSP (Oda and Maksyutov, 2011) and NASA’s Black Marble Nighttime Lights Product Suite (VNP46) (Román et al., 2018; Oda et al. 2020). This sensitivity atmospheric modeling experiment demonstrates the utility of CO2 mapping, helping...

A survey of small-scale waves and wave-like phenomena in Jupiter's atmosphere detected by JunoCam

Glenn Orton, Fachreddin Tabataba-Vakili, Gerald Eichstaedt, John Rogers, Candice Hansen, Thomas Momary, Andrew Ingersoll, Shawn Brueshaber, Michael H. Wong, Amy Simon, Leigh Fletcher, Michael Ravine, Michael Caplinger, Dakota Smith, Scott Bolton, Stephen Levin, James Sinclair, Chloe Thepenier, Hamish Nicholson & Abigail Anthony
In the first 20 orbits of the Juno spacecraft around Jupiter, we have identified a variety of wave-like features in images made by its public-outreach camera, JunoCam. Because of Juno’s unprecedented and repeated proximity to Jupiter’s cloud tops during its close approaches, JunoCam has detected more wave structures than any previous surveys. Most of the waves appear in long wave packets, oriented east-west and populated by narrow wave crests. Spacing between crests were measured as...

Registration Year

  • 2020

Resource Types

  • Dataset


  • Goddard Space Flight Center
  • Universities Space Research Association
  • Jet Propulsion Lab
  • Harvard University
  • Pennsylvania State University
  • National Center for Atmospheric Research
  • Cooperative Institute for Research in Environmental Sciences
  • University of Michigan–Ann Arbor
  • Malin Space Science Systems (United States)
  • Instituto de Investigaciones de la Amazonía Peruana